# EcoBack Raumklima MCP

> EcoBack Raumklima MCP — f-tiger-getecoback-mcp. Use this tool when you need to optimize indoor climate and household energy in Germany/EU, solving problems such as sizing heating/cooling systems, calculating energy costs, and ensuring safe ventilation. It provides various calculations and looks up relevant guides from getecoback.com, returning source URLs for reference. Input parameters include room dimensions, appliance details, and location, with output results offering actionable advice and data-driven insights.

Canonical page: https://skillsregistry.net/skills/f-tiger-getecoback-mcp  
JSON: https://api.skillsregistry.net/v1/skills/f-tiger-getecoback-mcp

## Description

Nine tools for indoor climate and household energy in Germany/EU: BTU sizing for a room, portable-AC window-seal length, live heatwave outlook, appliance running costs, heating watts, dew point for safe ventilation, and balcony-storage subsidy rules. Also searches and reads 133 guides on getecoback.com; no auth, no personal data, and every answer returns its source URL.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kt79bqzkum)
- **Repository:** <https://github.com/f-tiger/getecoback-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "f-tiger-getecoback-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/f-tiger-getecoback-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/f-tiger-getecoback-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt